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Record W2727948050 · doi:10.14288/1.0347684

Race, labour, and the architecture of white jobs : Chinese labour in British Columbia's salmon canning industry, 1871-1941

2017· article· en· W2727948050 on OpenAlexaffabout
Devin Ainsworth Eeg

Bibliographic record

VenuecIRcle (University of British Columbia) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRace (biology)White (mutation)Labour economicsArchitectureBusinessEconomicsSociologyGender studiesGeography

Abstract

fetched live from OpenAlex

Chinese migrant workers in North America have typically been regarded in two ways by historians: either as competitive threats to white workers, or as workers isolated within ethnic niches. Few scholars have examined cases where Chinese workers complemented or supported the labour of others. This thesis looks at Chinese labour in British Columbia’s salmon canning industry between 1871 and 1941, arguing that Chinese workers were foundational to white fishing jobs in the province. Drawing on company records, Government reports, newspapers, and oral interviews, I examine Chinese manual labour, labour politics, and wages as three areas where Chinese workers upheld the labour of fishers in a nominally “white” industry. As such, this thesis offers a different outlook on the structural entanglement of race and labour in British Columbia in the seventy years after the province joined the Canadian Confederation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.413

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0190.009
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.187
Teacher spread0.182 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes2
Has abstractyes

Explore more

Same venuecIRcle (University of British Columbia)→Same topicCanadian Identity and History→French-language works237,207→